Job Description

At Xoltar, we utilize cutting-edge AI to empower people’s wellbeing. Our humanlike virtual agents foster supportive relationships with users to help them overcome challenges, follow treatment plans, and increase treatment effectiveness.

With ongoing projects in oncology, chronic pain management, and more, we aim to expand into new fields. Our diverse team combines expertise in behavioral studies, engineering, NLP, and beyond, united by a shared passion.

As an NLP engineer you will use natural language tools, to enhance our assistant’s capabilities. Your role will involve:

Analyzing conversational datasets to uncover language patterns and trends

Develop and implement new NLP models for intent recognition, entity extraction etc.

Continuously test and optimize NLP pipelines to improve accuracy

Research state-of-the-art NLP techniques that can enhance conversational abilities

Create tools and scripts to streamline NLP development and deployment


company swag; flexible work hours; happy Hour; mentor program; relaxed dress code; snacks


You are a great candidate if you have:

Bachelor’s degree in computer science, linguistics or related field

Some experience with Python and NLP tools.

Understanding of NLP concepts like tokenization, entity recognition, sentiment analysis etc.

Company Description

XOLTAR created the first human-emulating AI for patient accountability & behavioral change. Using a unique architecture that harnesses LLMs, Vision, and Graphics Models to implement evidence-based protocols with zero training, the platform provides patients with free-guided video calls that are personalized and truthful. Each AI companion can promote different goals and behaviors, monitor patients, collect real-world evidence, and provide a 24/7 emotional hand-holding experience with infinite scalability, resulting in a cost-effective SaaS platform that can help pharmaceutical companies recover lost revenue ($650B/Yr).
Internship Wishlist
Your Internship Wishlist
Apply To Your Top 5 Internships All At Once
Aller au contenu principal